Department of Computer Science

Computing education research and educational technology

Computer science, psychology, and education.
Education technology used in class room, symbolic illustration by Matti Ahlgren

Computing education research (CER) contributes scientific knowledge about the learning and teaching of computer programming and other areas of computing education; develops software tools, pedagogies, and theoretical models to help computing students and teachers; and evaluates such tools, pedagogies, and models empirically.

CER is an interdisciplinary field at the cross-section of computer science, psychology, and education.

We develop and apply educational technology, learning analytics and educational data mining to improve computing education as well as other fields of education.

Research topics: Computing education research, learning analytics, educational technology.

Related research groups

Latest publications

Automated Questionnaires About Students’ JavaScript Programs: Towards Gauging Novice Programming Processes

Teemu Lehtinen, Lassi Haaranen, Juho Leinonen 2023 Proceedings of the 25th Australasian Computing Education Conference

Virtual Reality Childbirth Education With 360° Videos

Marjaana Siivola, Eero Tiainen, Eeva Ekholm, Teemu Leinonen, Lauri Malmi 2023 Journal of Perinatal Education

A Study of Worked Examples for SQL Programming

Kamil Akhuseyinoglu, Ryan Hardt, Jordan Barria-Pineda, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi 2022 ITiCSE 2022 - Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education

From a National Meeting to an International Conference

Mikko Apiola, Sonsoles Lopez-Pernas, Mohammed Saqr, Arnold Pears, Mats Daniels, Lauri Malmi, Matti Tedre 2022 IEEE Access

Experiences With and Lessons Learned on Deadlines and Submission Behavior

Francisco Enrique Vicente Castro, Juho Leinonen, Arto Hellas 2022 Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research

Seeking Flow from Fine-Grained Log Data

Benjamin Ultan Cowley, Arto Hellas, Petri Ihantola, Juho Leinonen, Michiel Spape 2022 Proceedings - 2022 ACM/IEEE 44th International Conference on Software Engineering

Parsons Problems and Beyond: Systematic Literature Review and Empirical Study Designs

Barbara J. Ericson, Paul Denny, James Prather, Rodrigo Duran, Arto Hellas, Juho Leinonen, Craig S. Miller, Briana B. Morrison, Janice L. Pearce, Susan H. Rodger 2022 ITiCSE-WGR 2022 - Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education

Planning a Multi-Institutional and Multi-National Study of the Effectiveness of Parsons Problems

Barbara J. Ericson, Paul Denny, James Prather, Rodrigo Duran, Arto Hellas, Juho Leinonen, Craig S. Miller, Briana Morrison, Janice L. Pearce, Susan H. Rodger 2022

Software engineering teacher networks in Finland - what motivates teachers to collaborate?

Terhi Kilamo, Antti Knutas, Ari Korhonen, Timo Poranen, Outi Sievi-Korte 2022 Proceedings of the 50th SEFI Conference (European Society for Engineering Education) 2022

Evaluating CodeClusters for Effectively Providing Feedback on Code Submissions

Teemu Koivisto, Arto Hellas 2022 2022 IEEE Frontiers in Education Conference (FIE)
More information on our research in the Research database.
Research database

Related units

Helsinki Institute for Information Technology HIIT (external link)

Collaborative institute for research on information technology.


Finnish Center for Artificial Intelligence FCAI (external link)

International research hub for artificial intelligence

Finnish Center for Artificial Intelligence
PML research gropu at department of computer science, photo Matti Ahlgren

Research areas

Research areas in the Department of Computer Science

Department of Computer Science
Aerial photo of Computer Science Building at Aalto University campus

Department of Computer Science

To foster future science and society.

Artistic depiction of a bright light in space / made by Ray Scipak

School of Science

Science for tomorrow’s technology, innovations and businesses

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